CN102016502A - Voice recognition grammar selection based on context - Google Patents

Voice recognition grammar selection based on context Download PDF

Info

Publication number
CN102016502A
CN102016502A CN2009801157214A CN200980115721A CN102016502A CN 102016502 A CN102016502 A CN 102016502A CN 2009801157214 A CN2009801157214 A CN 2009801157214A CN 200980115721 A CN200980115721 A CN 200980115721A CN 102016502 A CN102016502 A CN 102016502A
Authority
CN
China
Prior art keywords
grammer
user
geographic position
server
described user
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN2009801157214A
Other languages
Chinese (zh)
Other versions
CN102016502B (en
Inventor
大卫·P·辛格尔顿
德巴基特·高什
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Google LLC
Original Assignee
Google LLC
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Google LLC filed Critical Google LLC
Priority to CN201710202874.9A priority Critical patent/CN107331389B/en
Priority to CN202110625294.7A priority patent/CN113506567A/en
Publication of CN102016502A publication Critical patent/CN102016502A/en
Application granted granted Critical
Publication of CN102016502B publication Critical patent/CN102016502B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/28Constructional details of speech recognition systems
    • G10L15/30Distributed recognition, e.g. in client-server systems, for mobile phones or network applications
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01CMEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
    • G01C21/00Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
    • G01C21/26Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
    • G01C21/34Route searching; Route guidance
    • G01C21/36Input/output arrangements for on-board computers
    • G01C21/3605Destination input or retrieval
    • G01C21/3608Destination input or retrieval using speech input, e.g. using speech recognition
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • G10L15/19Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W4/00Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02Services making use of location information
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/245Query processing
    • G06F16/2455Query execution
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24Querying
    • G06F16/248Presentation of query results
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/29Geographical information databases
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065Adaptation
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/223Execution procedure of a spoken command
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/22Procedures used during a speech recognition process, e.g. man-machine dialogue
    • G10L2015/226Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics
    • G10L2015/228Procedures used during a speech recognition process, e.g. man-machine dialogue using non-speech characteristics of application context

Abstract

The subject matter of this specification can be embodied in, among other things, a method that includes receiving geographical information derived from a non-verbal user action associated with a first computing device. The non-verbal user action implies an interest of a user in a geographic location. The method also includes identifying a grammar associated with the geographic location using the derived geographical information and outputting a grammar indicator for use in selecting the identified grammar for voice recognition processing of vocal input from the user.

Description

Speech recognition grammar based on the border, field is selected
Technical field
This instructions relates to speech recognition.
Background technology
Multi-mode is used the input that can accept polytype or pattern.For example, multi-mode is used and can be accepted such as the input of keying in order and click from the user; Yet multi-mode is used the input that can also accept such as other form of phonetic entry.Speech recognition system can use the grammer that comprises specific vocabulary to explain phonetic entry.
Some multi-mode is used and is realized form filling model, and the different input fields in wherein using are associated with different grammers.For example, multi-mode is used and " title " grammer that comprises the vocabulary of title can be associated with " title " field of acceptor's title.When the his or her mouse of certain human was selected " title " field, multi-mode was used and can be selected " title " grammer of being associated with this field.
Summary of the invention
Generally speaking, this document has been described and has been selected to be used for the grammer that uses in speech recognition, and wherein this grammer is selected based on border, implicit expression field (context) information, and described implicit expression field environment information is based on one or more user behaviors.
First blanket aspect, a kind of computer implemented method has been described.This method comprises the geography information that reception obtains from the non-language users behavior that is associated with first computing equipment.This non-language users behavior hint user is interested in the geographic position.This method comprises that also the geography information that use obtains discerns the grammer that is associated with this geographic position, and output grammer designator is at the grammer of selecting to be discerned the speech input from the user being carried out using in the voice recognition processing.
Second blanket aspect, a kind of computer implemented method has been described, it comprises that wherein voice recognition processor is not pointed out (unprompted) this user behavior based on the user behavior received field environment information that is associated with computing equipment.This method comprises based on this environment information and obtains the geographic position, the grammer that identification is associated with this geographic position, and the output syntax identifier is for use in selecting described grammer to be used for to handle from described user's speech input
Another blanket aspect, a system has been described.This system comprises the interface that comes the received field environment information based on the non-language users behavior that is associated with first computing equipment.This non-language users behavior hint user is interested in geography.This system also comprises the device that is used to discern the grammer that is associated with the geographic position of obtaining from the field environment information that is received, and is configured to use the grammer of being discerned to explain from the speech recognition server of the speech input of user's reception.
System described here and technology can provide the one or more of following advantage.At first, system can improve the speed of identification speech input by the suitable subclass rather than the bigger universal grammar of use of identification grammer.Extraly, select the subclass of grammer for improving the accuracy of speech recognition at the domestic given voice commands of the particular field that is associated with this subclass.System can also reduce the amount of user interaction in speech recognition process.In addition, can be so that the mode of user transparent (for example, based on answering with the user interactions of software application rather than based on the clear and definite user to the prompting of speech recognition system) be selected extra or new grammer.
One or more embodiments of the detail have been set forth in accompanying drawing below and the description.It will be conspicuous that further feature and advantage require from description and accompanying drawing and accessory rights.
Description of drawings
Fig. 1 is the figure that is used for being chosen in the example system of the grammer that computer implemented speech recognition uses.
Fig. 2 is the exemplary client used at the grammer of selecting to be used for speech recognition and the figure of exemplary audio disposal system.
Fig. 3 is the process flow diagram that is used for selecting based on the field environment information illustrative methods of grammer.
Fig. 4 shows that be used for client and the exemplary screen shot mutual user interface of audio frequency processing system.
Fig. 5 is the block diagram that can be used to realize the computing equipment of described system and method.
Reference symbol identical in each accompanying drawing is indicated identical element.
Embodiment
This document has been described system and the technology that is used for being chosen in the grammer that speech recognition uses.More specifically, how application can generate an environment information with the equipment that moves this application alternately based on the user.Described equipment can send described environment information to speech recognition system.Speech recognition system can be discerned the specific syntax that is associated with described environment information, and can be subsequently the speech input that receives from the described equipment user's voice order of described equipment (for example, from) is being carried out using the grammer of being discerned in the audio identification.
In some embodiments, an environment information comprises geography information.If the user uses the mobile browser on the cell phone to consult a map, then this cell phone can send the information relevant with the geographic position of described map demonstration to speech recognition system.Speech recognition system can be discerned described geographic position based on the information that is received, and can select the grammer that is associated with described geographic position, described grammer to comprise vocabulary, sentence structure of speech etc.Speech recognition system can use selected grammer to explain the speech input that receives from described cell phone subsequently.
The user can select to allow to share an environment information with this user's associated device (for example, the unique identifier by distributing to this user-such as cookie) with speech recognition system.If the user does not select to share an environment information, then speech recognition system can be used the acquiescence grammer or clearly point out the user for geographical or other environment information that is used for using when being chosen in the specific syntax that voice recognition processing uses.
Fig. 1 is the figure that is used for being chosen in the example system 100 of the grammer that computer implemented speech recognition uses.In some embodiments, example system 100 is selected grammer based on the implicit expression field environment information that the result as user behavior generates.System 100 comprises client device 102, grammer selection server 104 and speech recognition server 106.
In the embodiment of Fig. 1, client 102 sends the field environment information to grammer and selects server 104, and it uses described environment information to select grammer.Grammer selects server that the information relevant with selected grammer is sent to speech recognition server 106, and it uses selected grammer to explain the audio frequency input that receives from client 102.
For example, client 102 can be to move the cell phone of mobile browser 108.The user can be input to search mobile browser is sold " ice room " with identification enterprise.Browser can show and shows the map that is positioned at Canadian south, the North Dakota State and Minnesotan relevant enterprise.The user may before import by browser and make the location identifier that is used for discerning the position that is used for illustrating on map, such as postcode.Input position identifier in user's session formerly, and browser can location identifier in session subsequently, using (for example, location identifier can be used as cookie be stored on the client).
In other embodiments, cell phone operation proprietary application 108, rather than mobile browser 108.For example, proprietary application 108 can browsing page, but can be configured to and the particular remote interface applications of using such as Online Map.
Server selected in the indicated grammer that implicit expression geography information 114 can be sent to of the arrow of the mobile browser of operation or Another application such as mark " 1 " on cell phone 102.In some embodiments, an environment information comprises the implicit expression geography information 114 of the map that shows based on mobile browser 108.For example, implicit expression geography information 114 can comprise the coordinate at the center of the map that identification is shown.In this example, the center of map is with consistent in Minnesotan position intermediate.
Grammer selects server 104 to select 116 grammers based on the field environment information that is received.In some embodiments, if an environment information comprises geography information 114, then grammer selects server can visit the data storage 110 of discerning the grammer 112 that is associated with the geographic position.Specific syntax can be associated with specific geographic position.
The corresponding vocabulary of vocabulary that in the grammer 112 each can comprise and be associated with the corresponding geographical position.For example, can comprise with grammer that Minnesota State Minneapolis is associated and describe speech or the phrase that is positioned at Minneapolis or the enterprise that takes place with Minneapolis, point of interest, incident, news etc. relatedly.
In Fig. 1, implicit expression geography information 114 comprises the coordinate that is positioned at Minnesotan position intermediate.Grammer is selected server identification to be anchored on to approach Minnesotan position in the middle most or is had a grammer at the center of this position.The indicated information 118 that can generate the identification grammer of the arrow of server such as mark " 2A " and " 2B " selected in grammer.
In some embodiments, then, grammer selects server 104 to send the syntactic information of being discerned 118 to speech recognition server 106 as the arrow of mark " 3 " is indicated.
The user can speak to cell phone 102, and cell phone 102 sends speech input 120 to speech recognition server 106 as arrow " 4 " is indicated.Speech input 120 explained in the grammer that speech recognition server 106 can use grammer to select server 104 to discern.
Identified server 106 can be carried out one or more actions based on speech input.In some embodiments, speech recognition server 106 can send back cell phone 102 with response based on the speech input as the arrow of mark " 5 " is indicated.For example, the user of cell phone 102 can ask the new search to " Paul Bunyan " audibly.Cell phone 102 can send the voice search request to speech recognition server 106.Because the user is current checks that on mobile browser 108 map of (or before having checked) is the center with the Minnesota State, so speech recognition server 106 uses and is anchored near position, Minnesotan center or with the grammer of this position as the center.Speech recognition server 106 uses this grammer to search for and speech input " Paul Bunyan " corresponding sound, speech, phrase.In some embodiments, because word " Paul Bunyan " is related more continually with the information that is associated with the Minnesota State with respect to the other parts in the world, thus be anchored on the Minnesota State neighbouring or within grammer can comprise the information that is used to explain title " Paul Bunyan ".
Speech recognition server 106 can transmit text " Paul Bunyan ", and it is corresponding to the speech input from cell phone 102.Cell phone 102 can show the text that is received on mobile browser 108.If the translation that customer's approval speech recognition server 106 is carried out, then browser can be initiated new search by text " Paul Bunyan " is submitted to search engine as search terms.In other embodiments, speech recognition server 106 can not use word " Paul Bunyan " to initiate search under the situation from the user's of cell phone 102 approval.Speech recognition server 106 can formerly not have transmission will send cell phone 102 to from the result of search under the situation of the text of speech input identification.
The exemplary sequence of marker arrow indication event in system 100 of Fig. 1.Yet, the sequence shown in being not limited to of incident.For example, the generation that can walk abreast of the one or more steps in the sequence.
Fig. 2 is the exemplary client 200 used at the grammer of selecting to be used for speech recognition and the figure of exemplary audio disposal system 202.Client 200 can use the network 204 that can comprise the Internet and cellular network in some embodiments to communicate by letter with audio frequency processing system 202.Client 200 can comprise and then comprise cell phone or other mobile device 206 of applied environment 208.Applied environment 208 can comprise explorer 210, microphone interface 212 and GPS transceiver interface 214.Audio frequency processing system 202 can comprise provides the multi-mode server 216 of audio frequency processing system 202 with the interface of client 200, grammer to select server 218 and speech recognition server 220.
Application in the applied environment 208 can generate or discern geographic contact information 222, and sends this information to multi-mode server 216.For example, GPS transceiver interface 214 can receive gps coordinate from the GPS transceiver based on the position of cell phone 206.GPS transceiver interface 214 can send gps coordinate information to multi-mode server 216.
In some embodiments, gps coordinate information can be added to being included in browser 210 and be submitted to the part of the URL(uniform resource locator) (URI) in the HTTP(Hypertext Transport Protocol) POST order of multi-mode server 216.Be different from other embodiment of application of browser in use, application can generate HTTP GET order, and wherein the URI in the order comprises gps coordinate information (or other environment information).In another embodiment, gps coordinate or other environment information are not attached among the URI, but are included in as binary message in the main body of HTTP request (for example, GET or POST).
In another example, browser 210 can transmit the relevant geographical environment information of item that shows with browser 210.For example, if the user checks the webpage of repeatedly mentioning that comprises the Bermuda, then browser 210 can transmit a geographical environment information of specifying the Bermuda.
Multi-mode server 216 can receive a geographical environment information 222, and this message transport can be selected server 218 to grammer.Grammer selects server 218 can comprise reverse geocoder 224, and it uses a geographical environment information 222 to come recognizing site.For example, if a geographical environment information 222 comprises gps coordinate, then oppositely geocoder 224 can use the mapping of having stored between coordinate and geographic position to determine position corresponding to gps coordinate.
In some embodiments, grammer selects server to comprise the grammar indices 226 that ad-hoc location is associated with specific syntax.For example, grammar indices 226 is associated position " Bermuda " with Bermuda grammer that comprises the vocabulary that is associated with this position, sentence structure etc.
Grammer selects server 218 by identification and the grammer that the position of oppositely geocoder 224 identifications is associated, and uses grammar indices 226 to select grammer.Grammar indices can be discerned each in the grammer under the situation of using grammer ID.
Grammer selects server 218 to send selected grammer ID 228 to multi-mode server 216, itself so that grammer ID 228 can be transferred to speech recognition system.In Fig. 2 in unshowned other embodiment, oppositely the grammer that is associated with the position of the close position of discerning can be discerned and return to geocoder 224, and the selected grammer ID 228 that will be used for this grammer then sends multi-mode server 216 to.
The grammer that speech recognition system can be used grammer ID to load to be discerned is for using in Audio Processing subsequently.For example, speech recognition server can send the request 232 to grammer to data storage 230, wherein asks 232 to comprise grammer ID 228.Data storage can be returned the grammer 234 of grammer ID 232 appointments.
Speech recognition server can use grammer 234 to explain the audio frequency that receives from cell phone 206 subsequently.For example, the user can say search terms, and it is received by the microphone in the cell phone 206.Microphone interface 212 can be sent to multi-mode server 216 from microphone with audio frequency 236.
Multi-mode server 216 can send audio frequency 236 to speech recognition server 220, and it uses audio decoder 238 to come interpret audio 236.For example, audio decoder 238 can load grammer 234 audio frequency 236 is processed into text representation.For example, speech recognition server 220 can use text representation to initiate the search of search engine (not shown).In another example, can send the audio frequency of having explained to multi-mode server 216 as text 240.Multi-mode server 216 can send back cell phone 206 with text 240.Cell phone 106 can use browser 210 or the Another application in the applied environment 208 to come videotex.
In some embodiments, client 200 is submitted a new geographical environment information to based on new user interactions.For example, if the user changes the position, then the GPS transceiver in the cell phone 206 can send new gps coordinate to multi-mode server 216.In another example, the user can check the map that is associated with different positions.Browser 210 can send new map location to multi-mode server 216.Audio frequency processing system can be selected new grammer based on a new geographical environment information, and explains the audio frequency that is received based on this new grammer.
Although select server 218 and speech recognition server 220 to be illustrated as autonomous device multi-mode server 216, grammer, can maybe can use a plurality of equipment to realize individual server the synthetic individual equipment of group of server.
Fig. 3 is the process flow diagram that is used for selecting based on the field environment information illustrative methods 300 of grammer.Using system 200 and 202 in the example embodiment of method 300.Yet, comprise that other system of system 100 can implementation method 300.
In step 302, between client 200 and audio frequency processing system 202, create session.For example, cell phone 206 can (for example, based on http protocol) be set up the communication session with multi-mode server 216.For example, can when being used for the web interface (for example, search and webpage, interactive map, allow the social networking website of the profile of user search trustship on website etc.) of search engine, set up browser access session.In another embodiment, when on cell phone 206, starting application-specific, set up session.For example, initiation session in the time of can on cell phone 206, starting the applied map program.
In optional step 304, receive user ID.For example, cell phone 206 can comprise cookie is stored in mobile browser in the cellular storer.Cookie can comprise the identifier of discerning cellular user.Another server that audio frequency processing system 202 may can be visited in response to mobile browser and audio frequency processing system 202 or audio frequency processing system 202 previous mutual before sent user ID to browser.For example, the user can visit the webpage that comprises the interface that is used for search engine.Search engine can be issued unique identifier to the user.Audio frequency processing system 202 can the access search engine tabulation of identifier of storage.
In step 306, the received field environment information.For example, multi-mode server 216 receives a geographical environment information, such as the gps coordinate of the current location of specifying mobile device 206.
In some embodiments, multi-mode server 216 can receive other environment information, such as the field environment information specific to application.Client 202 can transmit the information which application designated user visits.For example, information is can designated user just mutual with browser application.In addition, information can comprise the previous past navigation of carrying out of user of application or the history of other behavior.For example, environment information can designated user by specify postcode asked map, on given map, dwindled, westwards navigated on the map about 200 miles, asked the satellite of map is checked, asked to show point of interest etc. on map.
In another embodiment, multi-mode server 216 can receive with run on client 200 on the relevant field environment information of item that shows of application, described client 200 can be a desktop computer.For example, the user can check the web portal pages that comprises such as the content of a few types of financial and economic news content, entertainment news content, technical news content etc.If user's cursor hovers is on the financial and economic news content, then computing equipment can be from the extracted region information (for example, can extract the interior text of certain radius at the center of cursor) around cursor.Partly or entirely being included in of the information extracted can be sent in the field environment information of multi-mode server.
In step 308, select grammer based on the field environment information that is received.For example, the grammer of the finance and economics vocabulary in the field environment information that grammer is selected server 218 can select to be included in to be received, described environment information indication user's mouse are just hovering on the content of the description financial information on webpage.More specifically, the sort module (not shown) in the grammer selection server 218 can be to the classifying content that extracts.Grammer selects server 218 the one or more keywords that result from the classification of the content extracted can be complementary with the keyword that is associated with grammer by grammar indices 226.
In another example, grammer selects server 218 can select the grammer that is associated with specific geography, and wherein specific geography is corresponding to the gps coordinate of the current location of indication cell phone 206.
In another example, if the field environment information designated user that is received is just mutual with application-specific, then grammer selection server 218 can select to comprise the grammer specific to the vocabulary of using.For example, if the user just with (for example, reside on the client 200 or trustship and via browser 210 visit) calendar application is mutual, then grammer selects server 218 can select to comprise specific to the vocabulary of calendar with specific to the grammer of the syntax rule of calendar.
Grammer selects server 218 can also use the user ID that is received to select grammer.In some embodiments, can make up grammer based on user's past Web search history.For example, if the frequent past web search inquiry that is associated with archaeology of carrying out of user, then Grammer creation device (not shown) can make up the personalized grammer of the vocabulary that is used for being associated with archaeology comprising of this user, sentence structure etc.
In some embodiments, can use the field environment information of one or more types to select more than a grammer.For example, a field environment information of obtaining of checking from the user can be related with two or more grammers.Use when in this case, grammer selects server can select a plurality of grammers for speech recognition.
In step 310, can receive audio frequency.For example, the user of equipment 206 can speak facing to the microphone of equipment 206.The speech that microphone interface 212 can capture microphone sends speech recognition server 220 to.
In step 312, can use the grammer of previous selection to explain the audio frequency that is received.For example, speech recognition server 220 can be visited the grammer that the data structure of storing grammer selects grammer to select server 218 to discern.Audio decoder 238 can use selected grammer to explain the audio frequency that is received.
In step 314, determine whether session is overtime.For example, the session of setting up between client 200 and audio frequency processing system 220 in step 302 can have the time limit.If overstepping the time limit, then method 300 can finish.In another embodiment, if session timeout, then audio frequency processing system 202 prompting clients 200 are set up new session.In some embodiments, the limiting session time can stop client to monopolize audio frequency processing system, especially when client is in inactive state for a long time.
In step 316, determine whether a border changes.For example, the user can change the position.If the user moves to new position, then the GPS transceiver can upgrade gps coordinate in response to the new position of reflection.Can receive and handle a new environment information as what previous and step 306 and later step were described explicitly.In another example, the user can visit different application, or uses the same different data that should be used for checking.The change of using or can initiate transmission to new field environment information to the use of using.
If an environment information does not change, then method 300 can repeat the step with step 310 beginning.For example, audio frequency processing system 202 can continue to use the grammer of previous selection to explain the audio frequency of any reception.
Fig. 4 shows the exemplary screen shot of the mutual user interface of the audio frequency processing system with select grammer based on the field environment information that is used for client.Screenshotss 400 comprise map 402. The online interaction formula Map Services of map.The user can be assigned to the position of map by input postcode, area code, Hezhou, city or other location identifier.For example, the user can import postcode 95661.Map Services can transmit California Roseville's corresponding map then to show on browser.
Browser (or webpage of browser display) can present search option window 404.The user can initiate search to enterprise, point of interest, position etc. alternately with search option window 404, and can be on map 402 display result.Search option window 404 can be accepted " input " search as option 406 is indicated.For example, the user can use keypad to select option 406.As an alternative, the user can say selection and " import new search ".The user then can be via the keypad inputted search.
Search option window such as option 408 are indicated can also accept spoken search.For example, the user can use keypad or select option 408 by saying.
Screenshotss 410 show the exemplary interfaces that shows in option 408 backs that the user has selected indication user expectation to say new search.In this example, client visible ground prompting user says the type or the enterprise name of enterprise.Figure 41 2 illustrates the user and says search terms " Fry ' s ".
In other embodiments, client can point out the user to say other word such as point of interest, geographic position etc.
In other embodiment again, visually do not point out the user to say search, but the user can initiate search voluntarily.For example, browser can show the webpage of display technique news.The user we can say " search AJAX ".In other embodiment again, client can be pointed out the user to import audibly or say search or the input of other speech.
In another embodiment, the user can press key on the equipment-such as " answering the call " key on the cell phone-indicate the user to be intended to initiate phonetic search.The user can pin this key when speaking, or initiates search by pinning this key scheduled duration.In latter's embodiment, phonetic search can stop through schedule time amount back under the situation that does not detect voice signal.
Although not indication in the screenshotss formerly, client can transmit the relevant geography information of the map that shows with client 402.Audio frequency processing system can select the grammer that is associated with this geography information to use when explaining in response to prompts displayed received in the screenshotss 410 audio frequency.
Screenshotss 416 show the audio frequency of having explained based on spoken search terms " Fry ' s ".The user can use keypad or select in the possible explanation one by for example saying with each numeral that is associated of explaining.The Pushpin icon 420 that screenshotss 418 show California Roseville's map 402 and discern the position of Fry ' s e-shop.
Fig. 5 is as client or as the block diagram of the computing equipment 500,550 of the system and method that can be used for realizing that this document is described of server or a plurality of servers.Computing equipment 500 is intended to represent various forms of digital machines, such as Laptop Computer, desktop computer, workstation, personal digital assistant, server, blade server, large scale computer and other suitable computing machine.Computing equipment 550 is intended to represent various forms of mobile devices, such as personal digital assistant, cell phone, smart mobile phone and other similar computing equipment.Extraly, computing equipment 500 or 550 can comprise USB (universal serial bus) (USB) flash drive.USB flash memory drives can storage operating system and other application.USB flash memory drives can comprise the I/O assembly, maybe can be inserted into the USB connector of the USB port of another computing equipment such as radio transmitters.The assembly shown in this, its connection and relation with and function to be intended to be exemplary, and and be not intended to and be limited in the embodiments of the present invention of describing and/or advocating in this document.
Computing equipment 500 comprises processor 502, storer 504, memory device 506, is connected to the high-speed interface 508 of storer 504 and high speed Extended Capabilities Port 510 and is connected to low speed bus 514 and the low-speed interface 512 of memory device 506.In the assembly 502,504,506,508,510 and 512 each is used various bus interconnections, and can be installed on the public mainboard according to circumstances or otherwise installation.Processor 502 can be handled and be used in computing equipment 500 instruction carried out, comprises the instruction that is stored in the storer 504 or is used for showing on such as the outside input-output apparatus of the demonstration 516 that is couple to high-speed interface 508 graphical information of GUI on the memory device 506.In other embodiments, can use a plurality of processors and/or a plurality of bus and a plurality of storer and type of memory according to circumstances.And, can connect a plurality of computing equipments 500, wherein each equipment provides the essential operation of part (for example, as cluster of server, blade server group or multicomputer system).
Storer 504 is stored in the information in the computing equipment 500.In one embodiment, storer 504 is volatile memory-elements.In another embodiment, storer 504 is Nonvolatile memery units.Storer 504 can also be the computer-readable medium of another kind of form, such as magnetic or CD.
Memory device 506 can provide mass memory for computing equipment 500.In one embodiment, memory device 506 can be or comprise computer-readable medium, such as floppy device, hard disc apparatus, compact disk equipment or carrying device, flash memory or other similar solid-state memory device or equipment array, be included in the equipment in storage area network or other configuration.Computer program can visibly be included in the information carrier.Computer program can also be included in the instruction of carrying out when being performed such as one or more methods of above-mentioned those methods.Information carrier is computing machine or machine readable media, such as storer 504, memory device 506, storer or transmitting signal on processor 502.
High-speed controller 508 management are about the bandwidth intensive operation of computing equipment 500, and the intensive operation of low speed controller 512 management lower bandwidths.Such distribution of responsibility is exemplary.In one embodiment, high-speed controller 508 (for example by graphic process unit or accelerator) is couple to storer 504, shows 516, and is couple to the high speed Extended Capabilities Port 510 that can accept various expansion card (not shown).In this embodiment, low speed controller 512 is couple to memory device 506 and low speed Extended Capabilities Port 514.The low speed Extended Capabilities Port that can comprise various communication port (for example USB, bluetooth, Ethernet, wireless ethernet) can be couple to the one or more input-output apparatus such as keyboard, indicating equipment, scanner, or for example is couple to networked devices such as switch or router by network adapter.
Computing equipment 500 can be realized with multiple different form as shown in FIG..For example, computing equipment 500 may be implemented as standard server 520 or the more time is implemented in one group of such server.Computing equipment 500 can also be implemented as the part of rack server system 524.In addition, computing equipment 500 can be realized in the personal computer such as laptop computer 522.As an alternative, from the assembly of computing equipment 500 can with combine such as other assembly in the mobile device (not shown) of equipment 550.In such equipment each can comprise one or more in the computing equipment 500,550, and total system can be made up of a plurality of computing equipments 500,550 of intercommunication mutually.
Except that other assembly, computing equipment 550 comprises processor 552, storer 564, such as the input-output apparatus, communication interface 566 and the transceiver 568 that show 554.Equipment 550 can also provide memory device such as little driving or miscellaneous equipment so that extra storage to be provided.In the assembly 550,552,564,554,566 and 568 each is used various bus interconnections, and in the assembly several can be installed on the public mainboard according to circumstances or otherwise install.
Processor 552 can be carried out the instruction in computing equipment 550, comprises the instruction that is stored in the storer 564.Processor may be implemented as the chipset of the chip that comprises independent and a plurality of analog-and digital-processors.Extraly, processor can use any realization the in a plurality of architectures.For example, processor 410 can be CISC (complex instruction set computer (CISC)) processor, RISC (Reduced Instruction Set Computer) processor or MISC (minimum instruction collection computing machine) processor.Processor for example can provide the coordination to other assembly of equipment 550, such as to user interface, by the control of the radio communication of the application of equipment 550 operations and equipment 550.
Processor 552 can show 554 control interface 558 and display interface 556 and telex network by being couple to.Show that 554 can be that for example TFT (tft liquid crystal demonstration) shows or OLED (Organic Light Emitting Diode) shows or other appropriate display technology.Display interface 556 can comprise being used to drive and shows that 554 present the suitable circuit of figure and out of Memory to the user.Control interface 558 can receive order and order is changed to submit to processor 552 from the user.In addition, can provide the external interface 562 of communicating by letter, communicate by letter so that equipment 550 can carry out near field with miscellaneous equipment with processor 552.External interface 562 can for example provide wire communication in some embodiments, or radio communication is provided in other embodiments, and can also use a plurality of interfaces.
Storer 564 is stored in the information in the computing equipment 550.Storer 564 may be implemented as one or more in computer-readable medium, volatile memory-elements or the Nonvolatile memery unit.Can also provide extended memory 574 and by comprising that for example the expansion interface 572 of SIMM (single-row straight cutting memory modules) card is connected to equipment 550.Such extended memory 574 can provide extra storage space for equipment 550, maybe can also store the application or the out of Memory that are used for equipment 550.Particularly, extended memory 574 can comprise that instruction realizes or additional said process, and can also comprise security information.Therefore, extended memory 574 can for example provide as the security module that is used for equipment 550, and can be programmed the instruction that allows safe handling equipment 550.In addition, Secure Application and extra information can provide via the SIMM card, such as in the mode that can not trespass identification information being placed on the SIMM card.
Storer can as described belowly comprise for example flash memory and/or NVRAM storer.In one embodiment, computer program visibly is included in the information carrier.Computer program is included in the instruction of carrying out when being performed such as one or more methods of above-mentioned those methods.Information carrier is computing machine or machine readable media, such as storer 564, extended memory 574, the storer on processor 552 or the transmitting signal that can for example receive by transceiver 568 or external interface 562.
Equipment 550 can wirelessly be communicated by letter by the communication interface 566 that can comprise digital signal processing circuit under the situation of needs.Communication interface 566 can be provided in the communication under various patterns or the agreement, such as GSM voice call, SMS, EMS or MMS message, CDMA, TDMA, PDC, WCDMA, CDMA2000 or GPRS etc.Can for example by radio-frequency (RF) transceiver 568 such communication take place.In addition, such as using bluetooth, WiFi or other such transceiver (not shown), junction service can take place.In addition, GPS (GPS) receiver module 570 can provide the extra navigation wireless data relevant with the position that can be used according to circumstances by the application that operates on the equipment 550 to equipment 550.
Equipment 550 can also use audio codec 560 to communicate by letter audibly, and audio codec 560 can receive spoken message and be converted into spendable numerical information from the user.Equally, audio codec 560 can generate the sound that can hear such as by for example loudspeaker in the monophone of equipment 550 for the user.Such sound can comprise the sound from voice telephone calls, can comprise the sound (for example, speech message, music file etc.) that has write down and can also comprise the sound that is generated by the application of operating on equipment 550.
Computing equipment 550 can be realized with multiple different form as shown in FIG..For example, computing equipment 550 may be implemented as cell phone 580.Computing equipment 550 can also be implemented as the part of smart phone 582, personal digital assistant or other similar mobile device.
Can in Fundamental Digital Circuit, integrated circuit, custom-designed ASIC (special IC), computer hardware, firmware, software and/or above combination, realize the various embodiments of system described here and technology.These various embodiments can be included in can carry out on the programmable system and/or explainable one or more computer program in embodiment, described programmable system comprises at least one programmable processor, it can be special-purpose or general, is coupled to receive data and instruction from storage system, at least one input equipment and at least one output device and to transmit data and instruction to storage system, at least one input equipment and at least one output device.
These computer programs (being also referred to as program, software, software application or code) comprise the machine instruction that is used for programmable processor, and can realize with advanced procedures and/or object oriented programming languages and/or compilation/machine language.As used in this, term " machine readable media ", " computer-readable medium " are meant that any computer program from data to programmable processor, device and/or the equipment that are used for providing machine instruction and/or are (for example, disk, CD, storer, programmable logic device (PLD)), comprise the machine readable media of reception as the machine instruction of machine-readable signal.Term " machine-readable signal " is meant any signal that is used for providing to programmable processor machine instruction and/or data.
For mutual with the user is provided, system described here and technology can realize having on the following computing machine: to the display device of user's display message (for example be used for, CRT (cathode-ray tube (CRT)) or LCD (liquid crystal display) monitor), and the user can provide the keyboard and the indicating equipment (for example, mouse or tracking ball) of input to computing machine by it.Also can use the equipment of other type that mutual with the user is provided; For example, the feedback that offers the user can be any type of perceptible feedback (for example, visual feedback, audio feedback or a tactile feedback); And can comprise the input of acoustics, speech or sense of touch in any form, receive input from the user.
System described here and technology can comprise aft-end assembly (for example as data server) comprise middleware component (for example application server) or comprise front end assemblies (for example have the user by its can with the embodiment interactive graphical user interface of system described here and technology or the client computer of Web browser) or the computing system of any combination of such rear end, middleware or front end assemblies in realize.The assembly of system can be by digital data communication (for example communication network) interconnection of any form or medium.The example of communication network comprises LAN (Local Area Network) (" LAN "), wide area network (" WAN "), peer-to-peer network (having from group or static member), grid computing infrastructure and the Internet.
Computing system can comprise client and server.It is mutual that client and server passes through communication network usually away from each other and typically.The relation of client and server relies on the computer program generation that moves on each computing machine and have the client-server relation each other.
Although describe some embodiments in the above in detail, other modification is possible.For example, can obtain the geography information that is used to select the geographic position based on the text that the user checks.For example, the user can visit and describe great Oklahoman website.Web browser (or other application) can transmit the indication user to the interested geography information of Oklahoma.In some embodiments, if the word relevant with Oklahoma of number of thresholds, then web browser (or other application) only transmits geography information.
In another embodiment, be used to select the text of the geography information in geographic position based on user's input.For example, the user can be input to the search terms such as " prairie fire " and " California " in the search engine interface.The grammer selector switch can also be related with word with the ad-hoc location in identification California with these.For example, can indicate the result to generally include mentioning of Santiago, California from poly-group nearest Search Results of search engine user.The grammer selector switch can be discerned near the grammer that is anchored on Santiago based on nearest Search Results.
Extraly, although about the GPS ability description in cell phone or other portable set current location of positioning equipment, can use other location-based detection system.For example, the position of mobile device can also be waited and determine via source honeycomb district (COO) mobile positioning technique, time of arrival poor (TDOA) signal detection technique, time of arrival (TOA) technology, the angle of arrival (AoA) measuring technique, enhancement mode observed time difference (EOTD) technology.
In other embodiments, the Grammer creation device can be edited the personalized grammer that is used for the user based on the Email that the user sends or receives.Grammer selection server can be based on the personalized grammer of selecting from the user ID of client reception to use.
In addition, particular order shown in the logic flow of being described among the figure does not need or sequential order could obtain the result of expectation.In addition, can provide other step, maybe can remove step, and other assembly can be added to described system or remove assembly from described system from described flow process.Therefore, other embodiment within the scope of the claims.

Claims (20)

1. computer implemented method comprises:
The geography information that reception obtains from the non-language users behavior that is associated with first computing equipment, wherein said non-language users behavior hint user is interested in the geographic position;
Use obtained geography information to discern the grammer that is associated with described geographic position; And
Output grammer designator is at the grammer of selecting to be discerned the speech input from described user being carried out using in the voice recognition processing.
2. the method for claim 1, wherein said non-language users behavior comprise described first computing equipment are moved to described geographic position.
3. method as claimed in claim 2, wherein the geography information that is received comprises GPS (GPS) data.
4. the method for claim 1, wherein said non-language users behavior comprises checks the map that is associated with described geographic position.
5. method as claimed in claim 4 comprises that further with the choice of location in the center of described map be described geographic position.
6. method as claimed in claim 5 further comprises based on the zoom level of the map of being checked and selects described geographic position.
7. the method for claim 1, wherein said non-language users behavior comprises checks the text that is associated with described geographic position.
8. the method for claim 1, wherein said non-language users behavior comprise the text that input is associated with described geographic position.
9. the method for claim 1 further comprises receiving the user identifier that is associated with described user.
10. method as claimed in claim 9, further comprise user's grammer that identification is associated with described user identifier, and user's grammer designator is outputed to voice recognition processor for selecting described user's grammer that the described speech input from described user is carried out using in the voice recognition processing.
11. method as claimed in claim 10 comprises that further the past internet hunt history based on described user generates described user's grammer.
12. method as claimed in claim 10 further comprises based on the Email that is associated with described user generating described user's grammer.
13. the method for claim 1 further comprises the tabulation that receives non-language users behavior.
14. method as claimed in claim 13 further comprises based on described tabulation and discerns the applied field border, and the applied field border grammer that is associated with described applied field border of identification.
15. method as claimed in claim 14 comprises that further output applied field border identifier is for selecting described applied field border grammer that the described speech input from described user is carried out using in the voice recognition processing.
16. method as claimed in claim 13, the tabulation of wherein said non-language users behavior comprise the identifier that is associated with the navigation of user in using.
17. method as claimed in claim 16, wherein said tabulation comprise the application menu item that described user selects.
18. the method for claim 1 further comprises: if extra non-language performance hints described user's new interest, then select different grammers, wherein said different grammer is based on described new interest.
19. a computer implemented method comprises:
Based on the user behavior received field environment information that is associated with computing equipment, wherein voice recognition processor is not pointed out described user behavior;
Obtain the geographic position based on described environment information;
The grammer that identification is associated with described geographic position; And
The output syntax identifier is for using in the speech input that is used at the described grammer of selection handling from described user.
20. a system comprises:
Interface, described interface are used for coming the received field environment information based on the non-language users behavior that is associated with first computing equipment, and wherein said non-language users behavior hint user is interested in geography;
Device, described device are used to discern the grammer that is associated with the geographic position of obtaining from the field environment information that is received; And
Speech recognition server, described speech recognition server are configured to use the grammer of being discerned to explain the speech input that receives from described user.
CN200980115721.4A 2008-03-07 2009-03-06 Speech recognition grammar system of selection and system based on context Active CN102016502B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN201710202874.9A CN107331389B (en) 2008-03-07 2009-03-06 Context-based speech recognition grammar selection method and system
CN202110625294.7A CN113506567A (en) 2008-03-07 2009-03-06 Context-based speech recognition grammar selection method and system

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US12/044,310 2008-03-07
US12/044,310 US8255224B2 (en) 2008-03-07 2008-03-07 Voice recognition grammar selection based on context
PCT/US2009/036369 WO2009111721A2 (en) 2008-03-07 2009-03-06 Voice recognition grammar selection based on context

Related Child Applications (2)

Application Number Title Priority Date Filing Date
CN201710202874.9A Division CN107331389B (en) 2008-03-07 2009-03-06 Context-based speech recognition grammar selection method and system
CN202110625294.7A Division CN113506567A (en) 2008-03-07 2009-03-06 Context-based speech recognition grammar selection method and system

Publications (2)

Publication Number Publication Date
CN102016502A true CN102016502A (en) 2011-04-13
CN102016502B CN102016502B (en) 2017-06-09

Family

ID=41054557

Family Applications (3)

Application Number Title Priority Date Filing Date
CN202110625294.7A Pending CN113506567A (en) 2008-03-07 2009-03-06 Context-based speech recognition grammar selection method and system
CN201710202874.9A Active CN107331389B (en) 2008-03-07 2009-03-06 Context-based speech recognition grammar selection method and system
CN200980115721.4A Active CN102016502B (en) 2008-03-07 2009-03-06 Speech recognition grammar system of selection and system based on context

Family Applications Before (2)

Application Number Title Priority Date Filing Date
CN202110625294.7A Pending CN113506567A (en) 2008-03-07 2009-03-06 Context-based speech recognition grammar selection method and system
CN201710202874.9A Active CN107331389B (en) 2008-03-07 2009-03-06 Context-based speech recognition grammar selection method and system

Country Status (6)

Country Link
US (6) US8255224B2 (en)
EP (1) EP2260264A4 (en)
JP (1) JP2011513795A (en)
KR (4) KR20180043405A (en)
CN (3) CN113506567A (en)
WO (1) WO2009111721A2 (en)

Cited By (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102270213A (en) * 2011-04-20 2011-12-07 深圳市凯立德科技股份有限公司 Searching method and device for interesting points of navigation system, and location service terminal
CN103903611A (en) * 2012-12-24 2014-07-02 联想(北京)有限公司 Speech information identifying method and equipment
CN105340006A (en) * 2013-07-08 2016-02-17 高通股份有限公司 Method and apparatus for assigning keyword model to voice operated function
CN105393302A (en) * 2013-07-17 2016-03-09 三星电子株式会社 Multi-level speech recognition
CN105453578A (en) * 2013-08-05 2016-03-30 三星电子株式会社 Apparatus, server, and method for providing conversation topic
CN106168895A (en) * 2016-07-07 2016-11-30 北京行云时空科技有限公司 Sound control method and intelligent terminal for intelligent terminal
CN108541312A (en) * 2016-12-30 2018-09-14 谷歌有限责任公司 The multi-modal transmission of packetized data
CN109189365A (en) * 2018-08-17 2019-01-11 平安普惠企业管理有限公司 A kind of audio recognition method, storage medium and terminal device
CN110325987A (en) * 2017-04-18 2019-10-11 谷歌有限责任公司 Context voice driven depth bookmark
CN113113024A (en) * 2021-04-29 2021-07-13 科大讯飞股份有限公司 Voice recognition method and device, electronic equipment and storage medium
US11087760B2 (en) 2016-12-30 2021-08-10 Google, Llc Multimodal transmission of packetized data
US11705121B2 (en) 2016-12-30 2023-07-18 Google Llc Multimodal transmission of packetized data

Families Citing this family (347)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8645137B2 (en) 2000-03-16 2014-02-04 Apple Inc. Fast, language-independent method for user authentication by voice
US7398209B2 (en) 2002-06-03 2008-07-08 Voicebox Technologies, Inc. Systems and methods for responding to natural language speech utterance
US7693720B2 (en) 2002-07-15 2010-04-06 Voicebox Technologies, Inc. Mobile systems and methods for responding to natural language speech utterance
US7640160B2 (en) 2005-08-05 2009-12-29 Voicebox Technologies, Inc. Systems and methods for responding to natural language speech utterance
US7620549B2 (en) 2005-08-10 2009-11-17 Voicebox Technologies, Inc. System and method of supporting adaptive misrecognition in conversational speech
US7949529B2 (en) 2005-08-29 2011-05-24 Voicebox Technologies, Inc. Mobile systems and methods of supporting natural language human-machine interactions
US8677377B2 (en) 2005-09-08 2014-03-18 Apple Inc. Method and apparatus for building an intelligent automated assistant
US9318108B2 (en) 2010-01-18 2016-04-19 Apple Inc. Intelligent automated assistant
US8073681B2 (en) 2006-10-16 2011-12-06 Voicebox Technologies, Inc. System and method for a cooperative conversational voice user interface
US7818176B2 (en) 2007-02-06 2010-10-19 Voicebox Technologies, Inc. System and method for selecting and presenting advertisements based on natural language processing of voice-based input
US8977255B2 (en) 2007-04-03 2015-03-10 Apple Inc. Method and system for operating a multi-function portable electronic device using voice-activation
CN101681382B (en) * 2007-06-11 2012-12-26 三菱电机株式会社 Navigation system
US10013536B2 (en) * 2007-11-06 2018-07-03 The Mathworks, Inc. License activation and management
US8140335B2 (en) 2007-12-11 2012-03-20 Voicebox Technologies, Inc. System and method for providing a natural language voice user interface in an integrated voice navigation services environment
US10002189B2 (en) 2007-12-20 2018-06-19 Apple Inc. Method and apparatus for searching using an active ontology
US9330720B2 (en) 2008-01-03 2016-05-03 Apple Inc. Methods and apparatus for altering audio output signals
US20090182562A1 (en) * 2008-01-14 2009-07-16 Garmin Ltd. Dynamic user interface for automated speech recognition
US8255224B2 (en) 2008-03-07 2012-08-28 Google Inc. Voice recognition grammar selection based on context
US8380512B2 (en) * 2008-03-10 2013-02-19 Yahoo! Inc. Navigation using a search engine and phonetic voice recognition
US8996376B2 (en) 2008-04-05 2015-03-31 Apple Inc. Intelligent text-to-speech conversion
US10496753B2 (en) 2010-01-18 2019-12-03 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US8589161B2 (en) 2008-05-27 2013-11-19 Voicebox Technologies, Inc. System and method for an integrated, multi-modal, multi-device natural language voice services environment
US9305548B2 (en) 2008-05-27 2016-04-05 Voicebox Technologies Corporation System and method for an integrated, multi-modal, multi-device natural language voice services environment
US20130218565A1 (en) * 2008-07-28 2013-08-22 Nuance Communications, Inc. Enhanced Media Playback with Speech Recognition
US20100030549A1 (en) 2008-07-31 2010-02-04 Lee Michael M Mobile device having human language translation capability with positional feedback
US9424339B2 (en) 2008-08-15 2016-08-23 Athena A. Smyros Systems and methods utilizing a search engine
US8965881B2 (en) * 2008-08-15 2015-02-24 Athena A. Smyros Systems and methods for searching an index
US8676904B2 (en) 2008-10-02 2014-03-18 Apple Inc. Electronic devices with voice command and contextual data processing capabilities
KR101545582B1 (en) * 2008-10-29 2015-08-19 엘지전자 주식회사 Terminal and method for controlling the same
US20100125523A1 (en) * 2008-11-18 2010-05-20 Peer 39 Inc. Method and a system for certifying a document for advertisement appropriateness
WO2010067118A1 (en) 2008-12-11 2010-06-17 Novauris Technologies Limited Speech recognition involving a mobile device
EP2211336B1 (en) * 2009-01-23 2014-10-08 Harman Becker Automotive Systems GmbH Improved speech input using navigation information
US8346901B2 (en) 2009-01-26 2013-01-01 Apple Inc. Selection of an appropriate online content source based on program information
US8326637B2 (en) 2009-02-20 2012-12-04 Voicebox Technologies, Inc. System and method for processing multi-modal device interactions in a natural language voice services environment
US10241752B2 (en) 2011-09-30 2019-03-26 Apple Inc. Interface for a virtual digital assistant
US10241644B2 (en) 2011-06-03 2019-03-26 Apple Inc. Actionable reminder entries
US9858925B2 (en) 2009-06-05 2018-01-02 Apple Inc. Using context information to facilitate processing of commands in a virtual assistant
US10255566B2 (en) 2011-06-03 2019-04-09 Apple Inc. Generating and processing task items that represent tasks to perform
US9431006B2 (en) 2009-07-02 2016-08-30 Apple Inc. Methods and apparatuses for automatic speech recognition
US8510117B2 (en) * 2009-07-09 2013-08-13 Nuance Communications, Inc. Speech enabled media sharing in a multimodal application
US9117448B2 (en) * 2009-07-27 2015-08-25 Cisco Technology, Inc. Method and system for speech recognition using social networks
US20110067059A1 (en) * 2009-09-15 2011-03-17 At&T Intellectual Property I, L.P. Media control
US10319376B2 (en) * 2009-09-17 2019-06-11 Avaya Inc. Geo-spatial event processing
US9502025B2 (en) * 2009-11-10 2016-11-22 Voicebox Technologies Corporation System and method for providing a natural language content dedication service
US9171541B2 (en) * 2009-11-10 2015-10-27 Voicebox Technologies Corporation System and method for hybrid processing in a natural language voice services environment
US10553209B2 (en) 2010-01-18 2020-02-04 Apple Inc. Systems and methods for hands-free notification summaries
US10679605B2 (en) 2010-01-18 2020-06-09 Apple Inc. Hands-free list-reading by intelligent automated assistant
US10276170B2 (en) 2010-01-18 2019-04-30 Apple Inc. Intelligent automated assistant
US10705794B2 (en) 2010-01-18 2020-07-07 Apple Inc. Automatically adapting user interfaces for hands-free interaction
US8682667B2 (en) 2010-02-25 2014-03-25 Apple Inc. User profiling for selecting user specific voice input processing information
US8468012B2 (en) * 2010-05-26 2013-06-18 Google Inc. Acoustic model adaptation using geographic information
US8442827B2 (en) * 2010-06-18 2013-05-14 At&T Intellectual Property I, L.P. System and method for customized voice response
US8538760B2 (en) * 2010-07-13 2013-09-17 Qualcomm Incorporated Methods and apparatuses for identifying audible samples for use in a speech recognition capability of a mobile device
US8645136B2 (en) 2010-07-20 2014-02-04 Intellisist, Inc. System and method for efficiently reducing transcription error using hybrid voice transcription
US20120059658A1 (en) * 2010-09-08 2012-03-08 Nuance Communications, Inc. Methods and apparatus for performing an internet search
US8718622B2 (en) * 2010-09-22 2014-05-06 Avaya Inc. Pervasive contact center
US9015043B2 (en) * 2010-10-01 2015-04-21 Google Inc. Choosing recognized text from a background environment
US10762293B2 (en) 2010-12-22 2020-09-01 Apple Inc. Using parts-of-speech tagging and named entity recognition for spelling correction
CN102074231A (en) * 2010-12-30 2011-05-25 万音达有限公司 Voice recognition method and system
US9262612B2 (en) 2011-03-21 2016-02-16 Apple Inc. Device access using voice authentication
US8538742B2 (en) * 2011-05-20 2013-09-17 Google Inc. Feed translation for a social network
US10057736B2 (en) 2011-06-03 2018-08-21 Apple Inc. Active transport based notifications
KR20130016644A (en) * 2011-08-08 2013-02-18 삼성전자주식회사 Voice recognition apparatus, voice recognition server, voice recognition system and voice recognition method
US8706499B2 (en) * 2011-08-16 2014-04-22 Facebook, Inc. Periodic ambient waveform analysis for enhanced social functions
US8707157B1 (en) * 2011-08-19 2014-04-22 Intuit Inc. System and method for pre-populating forms using statistical analysis
US8994660B2 (en) 2011-08-29 2015-03-31 Apple Inc. Text correction processing
US10672280B1 (en) * 2011-09-29 2020-06-02 Rockwell Collins, Inc. Bimodal user interface system, device, and method for streamlining a user's interface with an aircraft display unit
US9299110B2 (en) * 2011-10-19 2016-03-29 Facebook, Inc. Periodic ambient waveform analysis for dynamic device configuration
US8886546B2 (en) * 2011-12-19 2014-11-11 Verizon Patent And Licensing Inc. Voice application access
CN103226548A (en) * 2012-01-30 2013-07-31 北京四维图新科技股份有限公司 Search service method, search service device and search service system for Internet map
US8909255B1 (en) * 2012-02-21 2014-12-09 Google Inc. Reverse geocoder
US10326648B2 (en) * 2012-03-01 2019-06-18 Mentor Graphics Corporation Virtual use of electronic design automation tools
US10134385B2 (en) 2012-03-02 2018-11-20 Apple Inc. Systems and methods for name pronunciation
US9483461B2 (en) 2012-03-06 2016-11-01 Apple Inc. Handling speech synthesis of content for multiple languages
KR101951417B1 (en) * 2012-03-09 2019-02-22 엘지전자 주식회사 Mobile device and control method for the same
KR101700819B1 (en) * 2012-05-02 2017-02-01 한국전자통신연구원 Apparatus and method for speech recognition
US10019991B2 (en) * 2012-05-02 2018-07-10 Electronics And Telecommunications Research Institute Apparatus and method for speech recognition
US9280610B2 (en) 2012-05-14 2016-03-08 Apple Inc. Crowd sourcing information to fulfill user requests
US10417037B2 (en) 2012-05-15 2019-09-17 Apple Inc. Systems and methods for integrating third party services with a digital assistant
US10152723B2 (en) 2012-05-23 2018-12-11 Google Llc Methods and systems for identifying new computers and providing matching services
US10776830B2 (en) 2012-05-23 2020-09-15 Google Llc Methods and systems for identifying new computers and providing matching services
US9721563B2 (en) 2012-06-08 2017-08-01 Apple Inc. Name recognition system
US9576572B2 (en) 2012-06-18 2017-02-21 Telefonaktiebolaget Lm Ericsson (Publ) Methods and nodes for enabling and producing input to an application
US9043205B2 (en) * 2012-06-21 2015-05-26 Google Inc. Dynamic language model
CN103514875A (en) * 2012-06-29 2014-01-15 联想(北京)有限公司 Voice data matching method and electronic equipment
US9495129B2 (en) 2012-06-29 2016-11-15 Apple Inc. Device, method, and user interface for voice-activated navigation and browsing of a document
WO2014008494A1 (en) 2012-07-04 2014-01-09 Kreft Carlos Communication of position data via text message
US9576574B2 (en) 2012-09-10 2017-02-21 Apple Inc. Context-sensitive handling of interruptions by intelligent digital assistant
US9547647B2 (en) * 2012-09-19 2017-01-17 Apple Inc. Voice-based media searching
CN103678404A (en) * 2012-09-21 2014-03-26 联想(北京)有限公司 Method and electronic device for identifying keyword
JP6068901B2 (en) * 2012-09-26 2017-01-25 京セラ株式会社 Information terminal, voice operation program, and voice operation method
US20140114646A1 (en) * 2012-10-24 2014-04-24 Sap Ag Conversation analysis system for solution scoping and positioning
US20140142948A1 (en) * 2012-11-21 2014-05-22 Somya Rathi Systems and methods for in-vehicle context formation
US10650066B2 (en) 2013-01-31 2020-05-12 Google Llc Enhancing sitelinks with creative content
US10735552B2 (en) 2013-01-31 2020-08-04 Google Llc Secondary transmissions of packetized data
KR102118209B1 (en) 2013-02-07 2020-06-02 애플 인크. Voice trigger for a digital assistant
US10652394B2 (en) 2013-03-14 2020-05-12 Apple Inc. System and method for processing voicemail
US9368114B2 (en) 2013-03-14 2016-06-14 Apple Inc. Context-sensitive handling of interruptions
US10748529B1 (en) 2013-03-15 2020-08-18 Apple Inc. Voice activated device for use with a voice-based digital assistant
AU2014233517B2 (en) 2013-03-15 2017-05-25 Apple Inc. Training an at least partial voice command system
WO2014144579A1 (en) 2013-03-15 2014-09-18 Apple Inc. System and method for updating an adaptive speech recognition model
US10515076B1 (en) * 2013-04-12 2019-12-24 Google Llc Generating query answers from a user's history
US10593326B2 (en) * 2013-04-25 2020-03-17 Sensory, Incorporated System, method, and apparatus for location-based context driven speech recognition
US9626963B2 (en) 2013-04-30 2017-04-18 Paypal, Inc. System and method of improving speech recognition using context
WO2014197336A1 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for detecting errors in interactions with a voice-based digital assistant
WO2014197334A2 (en) 2013-06-07 2014-12-11 Apple Inc. System and method for user-specified pronunciation of words for speech synthesis and recognition
US9582608B2 (en) 2013-06-07 2017-02-28 Apple Inc. Unified ranking with entropy-weighted information for phrase-based semantic auto-completion
WO2014197335A1 (en) 2013-06-08 2014-12-11 Apple Inc. Interpreting and acting upon commands that involve sharing information with remote devices
US10176167B2 (en) 2013-06-09 2019-01-08 Apple Inc. System and method for inferring user intent from speech inputs
KR101959188B1 (en) 2013-06-09 2019-07-02 애플 인크. Device, method, and graphical user interface for enabling conversation persistence across two or more instances of a digital assistant
CN105265005B (en) 2013-06-13 2019-09-17 苹果公司 System and method for the urgent call initiated by voice command
CN105453026A (en) 2013-08-06 2016-03-30 苹果公司 Auto-activating smart responses based on activities from remote devices
WO2015030737A1 (en) * 2013-08-27 2015-03-05 Snap Trends, Inc. Methods and systems of aggregating information based on geographical locations of social network communications via a network
US9477991B2 (en) 2013-08-27 2016-10-25 Snap Trends, Inc. Methods and systems of aggregating information of geographic context regions of social networks based on geographical locations via a network
US9263038B2 (en) * 2013-10-03 2016-02-16 Marchex, Inc. System and method for analyzing and classifying calls without transcription via keyword spotting
US11138971B2 (en) 2013-12-05 2021-10-05 Lenovo (Singapore) Pte. Ltd. Using context to interpret natural language speech recognition commands
US10296160B2 (en) 2013-12-06 2019-05-21 Apple Inc. Method for extracting salient dialog usage from live data
TWI506458B (en) 2013-12-24 2015-11-01 Ind Tech Res Inst Apparatus and method for generating recognition network
US10276154B2 (en) 2014-04-23 2019-04-30 Lenovo (Singapore) Pte. Ltd. Processing natural language user inputs using context data
US9620105B2 (en) 2014-05-15 2017-04-11 Apple Inc. Analyzing audio input for efficient speech and music recognition
US10592095B2 (en) 2014-05-23 2020-03-17 Apple Inc. Instantaneous speaking of content on touch devices
US9502031B2 (en) 2014-05-27 2016-11-22 Apple Inc. Method for supporting dynamic grammars in WFST-based ASR
US9966065B2 (en) 2014-05-30 2018-05-08 Apple Inc. Multi-command single utterance input method
US9430463B2 (en) 2014-05-30 2016-08-30 Apple Inc. Exemplar-based natural language processing
US10170123B2 (en) 2014-05-30 2019-01-01 Apple Inc. Intelligent assistant for home automation
US10078631B2 (en) 2014-05-30 2018-09-18 Apple Inc. Entropy-guided text prediction using combined word and character n-gram language models
US9842101B2 (en) 2014-05-30 2017-12-12 Apple Inc. Predictive conversion of language input
US9734193B2 (en) 2014-05-30 2017-08-15 Apple Inc. Determining domain salience ranking from ambiguous words in natural speech
US9785630B2 (en) 2014-05-30 2017-10-10 Apple Inc. Text prediction using combined word N-gram and unigram language models
US10289433B2 (en) 2014-05-30 2019-05-14 Apple Inc. Domain specific language for encoding assistant dialog
US9760559B2 (en) 2014-05-30 2017-09-12 Apple Inc. Predictive text input
US9715875B2 (en) 2014-05-30 2017-07-25 Apple Inc. Reducing the need for manual start/end-pointing and trigger phrases
US9633004B2 (en) 2014-05-30 2017-04-25 Apple Inc. Better resolution when referencing to concepts
US9338493B2 (en) 2014-06-30 2016-05-10 Apple Inc. Intelligent automated assistant for TV user interactions
US10659851B2 (en) 2014-06-30 2020-05-19 Apple Inc. Real-time digital assistant knowledge updates
US9786276B2 (en) * 2014-08-25 2017-10-10 Honeywell International Inc. Speech enabled management system
US10446141B2 (en) 2014-08-28 2019-10-15 Apple Inc. Automatic speech recognition based on user feedback
US9818400B2 (en) 2014-09-11 2017-11-14 Apple Inc. Method and apparatus for discovering trending terms in speech requests
US10789041B2 (en) 2014-09-12 2020-09-29 Apple Inc. Dynamic thresholds for always listening speech trigger
WO2016044290A1 (en) 2014-09-16 2016-03-24 Kennewick Michael R Voice commerce
WO2016044321A1 (en) 2014-09-16 2016-03-24 Min Tang Integration of domain information into state transitions of a finite state transducer for natural language processing
US9606986B2 (en) 2014-09-29 2017-03-28 Apple Inc. Integrated word N-gram and class M-gram language models
US9886432B2 (en) 2014-09-30 2018-02-06 Apple Inc. Parsimonious handling of word inflection via categorical stem + suffix N-gram language models
US10127911B2 (en) 2014-09-30 2018-11-13 Apple Inc. Speaker identification and unsupervised speaker adaptation techniques
US9668121B2 (en) 2014-09-30 2017-05-30 Apple Inc. Social reminders
US9646609B2 (en) 2014-09-30 2017-05-09 Apple Inc. Caching apparatus for serving phonetic pronunciations
US10074360B2 (en) 2014-09-30 2018-09-11 Apple Inc. Providing an indication of the suitability of speech recognition
US9747896B2 (en) 2014-10-15 2017-08-29 Voicebox Technologies Corporation System and method for providing follow-up responses to prior natural language inputs of a user
US10431214B2 (en) 2014-11-26 2019-10-01 Voicebox Technologies Corporation System and method of determining a domain and/or an action related to a natural language input
US10614799B2 (en) 2014-11-26 2020-04-07 Voicebox Technologies Corporation System and method of providing intent predictions for an utterance prior to a system detection of an end of the utterance
US10552013B2 (en) 2014-12-02 2020-02-04 Apple Inc. Data detection
US9711141B2 (en) 2014-12-09 2017-07-18 Apple Inc. Disambiguating heteronyms in speech synthesis
US9865280B2 (en) 2015-03-06 2018-01-09 Apple Inc. Structured dictation using intelligent automated assistants
US10152299B2 (en) 2015-03-06 2018-12-11 Apple Inc. Reducing response latency of intelligent automated assistants
US9886953B2 (en) 2015-03-08 2018-02-06 Apple Inc. Virtual assistant activation
US9721566B2 (en) 2015-03-08 2017-08-01 Apple Inc. Competing devices responding to voice triggers
US10567477B2 (en) 2015-03-08 2020-02-18 Apple Inc. Virtual assistant continuity
US9899019B2 (en) 2015-03-18 2018-02-20 Apple Inc. Systems and methods for structured stem and suffix language models
US9842105B2 (en) 2015-04-16 2017-12-12 Apple Inc. Parsimonious continuous-space phrase representations for natural language processing
US10460227B2 (en) 2015-05-15 2019-10-29 Apple Inc. Virtual assistant in a communication session
US10083688B2 (en) 2015-05-27 2018-09-25 Apple Inc. Device voice control for selecting a displayed affordance
US10200824B2 (en) 2015-05-27 2019-02-05 Apple Inc. Systems and methods for proactively identifying and surfacing relevant content on a touch-sensitive device
US10127220B2 (en) 2015-06-04 2018-11-13 Apple Inc. Language identification from short strings
US9578173B2 (en) 2015-06-05 2017-02-21 Apple Inc. Virtual assistant aided communication with 3rd party service in a communication session
US10101822B2 (en) 2015-06-05 2018-10-16 Apple Inc. Language input correction
US11025565B2 (en) 2015-06-07 2021-06-01 Apple Inc. Personalized prediction of responses for instant messaging
US10186254B2 (en) 2015-06-07 2019-01-22 Apple Inc. Context-based endpoint detection
US10255907B2 (en) 2015-06-07 2019-04-09 Apple Inc. Automatic accent detection using acoustic models
DE102015211101A1 (en) * 2015-06-17 2016-12-22 Volkswagen Aktiengesellschaft Speech recognition system and method for operating a speech recognition system with a mobile unit and an external server
US20160378747A1 (en) 2015-06-29 2016-12-29 Apple Inc. Virtual assistant for media playback
US10331312B2 (en) 2015-09-08 2019-06-25 Apple Inc. Intelligent automated assistant in a media environment
US10747498B2 (en) 2015-09-08 2020-08-18 Apple Inc. Zero latency digital assistant
US10671428B2 (en) 2015-09-08 2020-06-02 Apple Inc. Distributed personal assistant
US10740384B2 (en) 2015-09-08 2020-08-11 Apple Inc. Intelligent automated assistant for media search and playback
US9697820B2 (en) 2015-09-24 2017-07-04 Apple Inc. Unit-selection text-to-speech synthesis using concatenation-sensitive neural networks
US11010550B2 (en) 2015-09-29 2021-05-18 Apple Inc. Unified language modeling framework for word prediction, auto-completion and auto-correction
US10366158B2 (en) 2015-09-29 2019-07-30 Apple Inc. Efficient word encoding for recurrent neural network language models
US11587559B2 (en) 2015-09-30 2023-02-21 Apple Inc. Intelligent device identification
US10691473B2 (en) 2015-11-06 2020-06-23 Apple Inc. Intelligent automated assistant in a messaging environment
US10956666B2 (en) 2015-11-09 2021-03-23 Apple Inc. Unconventional virtual assistant interactions
US10049668B2 (en) 2015-12-02 2018-08-14 Apple Inc. Applying neural network language models to weighted finite state transducers for automatic speech recognition
US10223066B2 (en) 2015-12-23 2019-03-05 Apple Inc. Proactive assistance based on dialog communication between devices
WO2017138934A1 (en) * 2016-02-10 2017-08-17 Nuance Communications, Inc. Techniques for spatially selective wake-up word recognition and related systems and methods
US9820039B2 (en) 2016-02-22 2017-11-14 Sonos, Inc. Default playback devices
US10142754B2 (en) 2016-02-22 2018-11-27 Sonos, Inc. Sensor on moving component of transducer
US10095470B2 (en) 2016-02-22 2018-10-09 Sonos, Inc. Audio response playback
US9965247B2 (en) 2016-02-22 2018-05-08 Sonos, Inc. Voice controlled media playback system based on user profile
US9947316B2 (en) 2016-02-22 2018-04-17 Sonos, Inc. Voice control of a media playback system
US9811314B2 (en) 2016-02-22 2017-11-07 Sonos, Inc. Metadata exchange involving a networked playback system and a networked microphone system
US10264030B2 (en) 2016-02-22 2019-04-16 Sonos, Inc. Networked microphone device control
US10446143B2 (en) 2016-03-14 2019-10-15 Apple Inc. Identification of voice inputs providing credentials
US9934775B2 (en) 2016-05-26 2018-04-03 Apple Inc. Unit-selection text-to-speech synthesis based on predicted concatenation parameters
US9972304B2 (en) 2016-06-03 2018-05-15 Apple Inc. Privacy preserving distributed evaluation framework for embedded personalized systems
US10249300B2 (en) 2016-06-06 2019-04-02 Apple Inc. Intelligent list reading
US11227589B2 (en) 2016-06-06 2022-01-18 Apple Inc. Intelligent list reading
US10049663B2 (en) 2016-06-08 2018-08-14 Apple, Inc. Intelligent automated assistant for media exploration
US9978390B2 (en) 2016-06-09 2018-05-22 Sonos, Inc. Dynamic player selection for audio signal processing
DK179309B1 (en) 2016-06-09 2018-04-23 Apple Inc Intelligent automated assistant in a home environment
US10067938B2 (en) 2016-06-10 2018-09-04 Apple Inc. Multilingual word prediction
US10586535B2 (en) 2016-06-10 2020-03-10 Apple Inc. Intelligent digital assistant in a multi-tasking environment
US10192552B2 (en) 2016-06-10 2019-01-29 Apple Inc. Digital assistant providing whispered speech
US10509862B2 (en) 2016-06-10 2019-12-17 Apple Inc. Dynamic phrase expansion of language input
US10490187B2 (en) 2016-06-10 2019-11-26 Apple Inc. Digital assistant providing automated status report
DK179343B1 (en) 2016-06-11 2018-05-14 Apple Inc Intelligent task discovery
DK201670540A1 (en) 2016-06-11 2018-01-08 Apple Inc Application integration with a digital assistant
DK179049B1 (en) 2016-06-11 2017-09-18 Apple Inc Data driven natural language event detection and classification
DK179415B1 (en) 2016-06-11 2018-06-14 Apple Inc Intelligent device arbitration and control
US10026398B2 (en) * 2016-07-08 2018-07-17 Google Llc Follow-up voice query prediction
US10152969B2 (en) 2016-07-15 2018-12-11 Sonos, Inc. Voice detection by multiple devices
US10134399B2 (en) 2016-07-15 2018-11-20 Sonos, Inc. Contextualization of voice inputs
WO2018023106A1 (en) 2016-07-29 2018-02-01 Erik SWART System and method of disambiguating natural language processing requests
US10115400B2 (en) 2016-08-05 2018-10-30 Sonos, Inc. Multiple voice services
US9693164B1 (en) 2016-08-05 2017-06-27 Sonos, Inc. Determining direction of networked microphone device relative to audio playback device
US10474753B2 (en) 2016-09-07 2019-11-12 Apple Inc. Language identification using recurrent neural networks
US9794720B1 (en) 2016-09-22 2017-10-17 Sonos, Inc. Acoustic position measurement
US10043516B2 (en) 2016-09-23 2018-08-07 Apple Inc. Intelligent automated assistant
US9942678B1 (en) 2016-09-27 2018-04-10 Sonos, Inc. Audio playback settings for voice interaction
US10540451B2 (en) * 2016-09-28 2020-01-21 International Business Machines Corporation Assisted language learning
US9743204B1 (en) 2016-09-30 2017-08-22 Sonos, Inc. Multi-orientation playback device microphones
US10181323B2 (en) 2016-10-19 2019-01-15 Sonos, Inc. Arbitration-based voice recognition
US11281993B2 (en) 2016-12-05 2022-03-22 Apple Inc. Model and ensemble compression for metric learning
US10593346B2 (en) 2016-12-22 2020-03-17 Apple Inc. Rank-reduced token representation for automatic speech recognition
US10296586B2 (en) * 2016-12-23 2019-05-21 Soundhound, Inc. Predicting human behavior by machine learning of natural language interpretations
GB2563967A (en) * 2016-12-30 2019-01-02 Google Llc Multimodal transmission of packetized data
US11204787B2 (en) 2017-01-09 2021-12-21 Apple Inc. Application integration with a digital assistant
KR101964514B1 (en) * 2017-03-23 2019-04-01 이동민 An ambiguous expression analysis device and method considering user status
US11183181B2 (en) 2017-03-27 2021-11-23 Sonos, Inc. Systems and methods of multiple voice services
US20180315414A1 (en) 2017-04-26 2018-11-01 International Business Machines Corporation Adaptive digital assistant and spoken genome
DK201770383A1 (en) 2017-05-09 2018-12-14 Apple Inc. User interface for correcting recognition errors
US10417266B2 (en) 2017-05-09 2019-09-17 Apple Inc. Context-aware ranking of intelligent response suggestions
US10726832B2 (en) 2017-05-11 2020-07-28 Apple Inc. Maintaining privacy of personal information
US10395654B2 (en) 2017-05-11 2019-08-27 Apple Inc. Text normalization based on a data-driven learning network
DK201770439A1 (en) 2017-05-11 2018-12-13 Apple Inc. Offline personal assistant
DK180048B1 (en) 2017-05-11 2020-02-04 Apple Inc. MAINTAINING THE DATA PROTECTION OF PERSONAL INFORMATION
US11301477B2 (en) 2017-05-12 2022-04-12 Apple Inc. Feedback analysis of a digital assistant
DK179745B1 (en) 2017-05-12 2019-05-01 Apple Inc. SYNCHRONIZATION AND TASK DELEGATION OF A DIGITAL ASSISTANT
DK179496B1 (en) 2017-05-12 2019-01-15 Apple Inc. USER-SPECIFIC Acoustic Models
DK201770427A1 (en) 2017-05-12 2018-12-20 Apple Inc. Low-latency intelligent automated assistant
DK201770431A1 (en) 2017-05-15 2018-12-20 Apple Inc. Optimizing dialogue policy decisions for digital assistants using implicit feedback
DK201770432A1 (en) 2017-05-15 2018-12-21 Apple Inc. Hierarchical belief states for digital assistants
US20180336892A1 (en) 2017-05-16 2018-11-22 Apple Inc. Detecting a trigger of a digital assistant
US10303715B2 (en) 2017-05-16 2019-05-28 Apple Inc. Intelligent automated assistant for media exploration
US10311144B2 (en) 2017-05-16 2019-06-04 Apple Inc. Emoji word sense disambiguation
US10403278B2 (en) 2017-05-16 2019-09-03 Apple Inc. Methods and systems for phonetic matching in digital assistant services
DK179560B1 (en) 2017-05-16 2019-02-18 Apple Inc. Far-field extension for digital assistant services
US10657328B2 (en) 2017-06-02 2020-05-19 Apple Inc. Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling
US20190019516A1 (en) * 2017-07-14 2019-01-17 Ford Global Technologies, Llc Speech recognition user macros for improving vehicle grammars
US10475449B2 (en) 2017-08-07 2019-11-12 Sonos, Inc. Wake-word detection suppression
US10048930B1 (en) 2017-09-08 2018-08-14 Sonos, Inc. Dynamic computation of system response volume
US10445429B2 (en) 2017-09-21 2019-10-15 Apple Inc. Natural language understanding using vocabularies with compressed serialized tries
US10446165B2 (en) 2017-09-27 2019-10-15 Sonos, Inc. Robust short-time fourier transform acoustic echo cancellation during audio playback
US10482868B2 (en) 2017-09-28 2019-11-19 Sonos, Inc. Multi-channel acoustic echo cancellation
US10051366B1 (en) 2017-09-28 2018-08-14 Sonos, Inc. Three-dimensional beam forming with a microphone array
US10621981B2 (en) 2017-09-28 2020-04-14 Sonos, Inc. Tone interference cancellation
US10466962B2 (en) 2017-09-29 2019-11-05 Sonos, Inc. Media playback system with voice assistance
US10755051B2 (en) 2017-09-29 2020-08-25 Apple Inc. Rule-based natural language processing
US10636424B2 (en) 2017-11-30 2020-04-28 Apple Inc. Multi-turn canned dialog
US10558426B2 (en) * 2017-12-08 2020-02-11 Google Llc Graphical user interface rendering management by voice-driven computing infrastructure
US10880650B2 (en) 2017-12-10 2020-12-29 Sonos, Inc. Network microphone devices with automatic do not disturb actuation capabilities
US10818290B2 (en) 2017-12-11 2020-10-27 Sonos, Inc. Home graph
US10733982B2 (en) 2018-01-08 2020-08-04 Apple Inc. Multi-directional dialog
US10733375B2 (en) 2018-01-31 2020-08-04 Apple Inc. Knowledge-based framework for improving natural language understanding
WO2019152722A1 (en) 2018-01-31 2019-08-08 Sonos, Inc. Device designation of playback and network microphone device arrangements
US10789959B2 (en) 2018-03-02 2020-09-29 Apple Inc. Training speaker recognition models for digital assistants
US10592604B2 (en) 2018-03-12 2020-03-17 Apple Inc. Inverse text normalization for automatic speech recognition
US10818288B2 (en) 2018-03-26 2020-10-27 Apple Inc. Natural assistant interaction
US10909331B2 (en) 2018-03-30 2021-02-02 Apple Inc. Implicit identification of translation payload with neural machine translation
US10928918B2 (en) 2018-05-07 2021-02-23 Apple Inc. Raise to speak
US11145294B2 (en) 2018-05-07 2021-10-12 Apple Inc. Intelligent automated assistant for delivering content from user experiences
US11175880B2 (en) 2018-05-10 2021-11-16 Sonos, Inc. Systems and methods for voice-assisted media content selection
US10847178B2 (en) 2018-05-18 2020-11-24 Sonos, Inc. Linear filtering for noise-suppressed speech detection
US10984780B2 (en) 2018-05-21 2021-04-20 Apple Inc. Global semantic word embeddings using bi-directional recurrent neural networks
US10959029B2 (en) 2018-05-25 2021-03-23 Sonos, Inc. Determining and adapting to changes in microphone performance of playback devices
US10892996B2 (en) 2018-06-01 2021-01-12 Apple Inc. Variable latency device coordination
US11386266B2 (en) 2018-06-01 2022-07-12 Apple Inc. Text correction
DK179822B1 (en) 2018-06-01 2019-07-12 Apple Inc. Voice interaction at a primary device to access call functionality of a companion device
DK180639B1 (en) 2018-06-01 2021-11-04 Apple Inc DISABILITY OF ATTENTION-ATTENTIVE VIRTUAL ASSISTANT
DK201870355A1 (en) 2018-06-01 2019-12-16 Apple Inc. Virtual assistant operation in multi-device environments
US10944859B2 (en) 2018-06-03 2021-03-09 Apple Inc. Accelerated task performance
KR102592907B1 (en) 2018-06-22 2023-10-23 삼성전자주식회사 Method and device for recognizing a text
JP7176011B2 (en) * 2018-06-26 2022-11-21 グーグル エルエルシー Interfacing between digital assistant applications and navigation applications
US10681460B2 (en) 2018-06-28 2020-06-09 Sonos, Inc. Systems and methods for associating playback devices with voice assistant services
JP7034027B2 (en) * 2018-07-26 2022-03-11 ヤフー株式会社 Recognition device, recognition method and recognition program
US11076035B2 (en) 2018-08-28 2021-07-27 Sonos, Inc. Do not disturb feature for audio notifications
US10461710B1 (en) 2018-08-28 2019-10-29 Sonos, Inc. Media playback system with maximum volume setting
US10878811B2 (en) 2018-09-14 2020-12-29 Sonos, Inc. Networked devices, systems, and methods for intelligently deactivating wake-word engines
US10587430B1 (en) 2018-09-14 2020-03-10 Sonos, Inc. Networked devices, systems, and methods for associating playback devices based on sound codes
US11024331B2 (en) 2018-09-21 2021-06-01 Sonos, Inc. Voice detection optimization using sound metadata
US10811015B2 (en) 2018-09-25 2020-10-20 Sonos, Inc. Voice detection optimization based on selected voice assistant service
US11010561B2 (en) 2018-09-27 2021-05-18 Apple Inc. Sentiment prediction from textual data
US10839159B2 (en) 2018-09-28 2020-11-17 Apple Inc. Named entity normalization in a spoken dialog system
US11170166B2 (en) 2018-09-28 2021-11-09 Apple Inc. Neural typographical error modeling via generative adversarial networks
US11100923B2 (en) 2018-09-28 2021-08-24 Sonos, Inc. Systems and methods for selective wake word detection using neural network models
US11462215B2 (en) 2018-09-28 2022-10-04 Apple Inc. Multi-modal inputs for voice commands
US10692518B2 (en) 2018-09-29 2020-06-23 Sonos, Inc. Linear filtering for noise-suppressed speech detection via multiple network microphone devices
US11899519B2 (en) 2018-10-23 2024-02-13 Sonos, Inc. Multiple stage network microphone device with reduced power consumption and processing load
US11475898B2 (en) 2018-10-26 2022-10-18 Apple Inc. Low-latency multi-speaker speech recognition
EP3654249A1 (en) 2018-11-15 2020-05-20 Snips Dilated convolutions and gating for efficient keyword spotting
WO2020117586A1 (en) * 2018-12-03 2020-06-11 Google Llc Speech input processing
US11183183B2 (en) 2018-12-07 2021-11-23 Sonos, Inc. Systems and methods of operating media playback systems having multiple voice assistant services
US11132989B2 (en) 2018-12-13 2021-09-28 Sonos, Inc. Networked microphone devices, systems, and methods of localized arbitration
US10602268B1 (en) 2018-12-20 2020-03-24 Sonos, Inc. Optimization of network microphone devices using noise classification
US11638059B2 (en) 2019-01-04 2023-04-25 Apple Inc. Content playback on multiple devices
CN109783681B (en) * 2019-01-18 2021-03-09 中国农业科学院农业信息研究所 Agricultural product price information acquisition and processing device and method
US11315556B2 (en) 2019-02-08 2022-04-26 Sonos, Inc. Devices, systems, and methods for distributed voice processing by transmitting sound data associated with a wake word to an appropriate device for identification
US10867604B2 (en) 2019-02-08 2020-12-15 Sonos, Inc. Devices, systems, and methods for distributed voice processing
US11348573B2 (en) 2019-03-18 2022-05-31 Apple Inc. Multimodality in digital assistant systems
US11120794B2 (en) 2019-05-03 2021-09-14 Sonos, Inc. Voice assistant persistence across multiple network microphone devices
US11217251B2 (en) 2019-05-06 2022-01-04 Apple Inc. Spoken notifications
US11475884B2 (en) 2019-05-06 2022-10-18 Apple Inc. Reducing digital assistant latency when a language is incorrectly determined
US11423908B2 (en) 2019-05-06 2022-08-23 Apple Inc. Interpreting spoken requests
US11307752B2 (en) 2019-05-06 2022-04-19 Apple Inc. User configurable task triggers
US11140099B2 (en) 2019-05-21 2021-10-05 Apple Inc. Providing message response suggestions
DK201970510A1 (en) 2019-05-31 2021-02-11 Apple Inc Voice identification in digital assistant systems
US11496600B2 (en) 2019-05-31 2022-11-08 Apple Inc. Remote execution of machine-learned models
DK180129B1 (en) 2019-05-31 2020-06-02 Apple Inc. User activity shortcut suggestions
US11289073B2 (en) 2019-05-31 2022-03-29 Apple Inc. Device text to speech
US11227599B2 (en) 2019-06-01 2022-01-18 Apple Inc. Methods and user interfaces for voice-based control of electronic devices
US11360641B2 (en) 2019-06-01 2022-06-14 Apple Inc. Increasing the relevance of new available information
US10586540B1 (en) 2019-06-12 2020-03-10 Sonos, Inc. Network microphone device with command keyword conditioning
US11361756B2 (en) 2019-06-12 2022-06-14 Sonos, Inc. Conditional wake word eventing based on environment
US11200894B2 (en) 2019-06-12 2021-12-14 Sonos, Inc. Network microphone device with command keyword eventing
US11138975B2 (en) 2019-07-31 2021-10-05 Sonos, Inc. Locally distributed keyword detection
US11138969B2 (en) 2019-07-31 2021-10-05 Sonos, Inc. Locally distributed keyword detection
US10871943B1 (en) 2019-07-31 2020-12-22 Sonos, Inc. Noise classification for event detection
WO2021056255A1 (en) 2019-09-25 2021-04-01 Apple Inc. Text detection using global geometry estimators
US11189286B2 (en) 2019-10-22 2021-11-30 Sonos, Inc. VAS toggle based on device orientation
JP7029434B2 (en) * 2019-10-23 2022-03-03 サウンドハウンド,インコーポレイテッド Methods executed by computers, server devices, information processing systems, programs, and client terminals
US11200900B2 (en) 2019-12-20 2021-12-14 Sonos, Inc. Offline voice control
US11562740B2 (en) 2020-01-07 2023-01-24 Sonos, Inc. Voice verification for media playback
US11556307B2 (en) 2020-01-31 2023-01-17 Sonos, Inc. Local voice data processing
US11308958B2 (en) 2020-02-07 2022-04-19 Sonos, Inc. Localized wakeword verification
US11061543B1 (en) 2020-05-11 2021-07-13 Apple Inc. Providing relevant data items based on context
US11810578B2 (en) 2020-05-11 2023-11-07 Apple Inc. Device arbitration for digital assistant-based intercom systems
US11043220B1 (en) 2020-05-11 2021-06-22 Apple Inc. Digital assistant hardware abstraction
US11755276B2 (en) 2020-05-12 2023-09-12 Apple Inc. Reducing description length based on confidence
US11308962B2 (en) 2020-05-20 2022-04-19 Sonos, Inc. Input detection windowing
US11727919B2 (en) 2020-05-20 2023-08-15 Sonos, Inc. Memory allocation for keyword spotting engines
US11482224B2 (en) 2020-05-20 2022-10-25 Sonos, Inc. Command keywords with input detection windowing
US11490204B2 (en) 2020-07-20 2022-11-01 Apple Inc. Multi-device audio adjustment coordination
US11438683B2 (en) 2020-07-21 2022-09-06 Apple Inc. User identification using headphones
US11698771B2 (en) 2020-08-25 2023-07-11 Sonos, Inc. Vocal guidance engines for playback devices
US20220130377A1 (en) * 2020-10-27 2022-04-28 Samsung Electronics Co., Ltd. Electronic device and method for performing voice recognition thereof
US11551700B2 (en) 2021-01-25 2023-01-10 Sonos, Inc. Systems and methods for power-efficient keyword detection
CN113299287A (en) * 2021-05-24 2021-08-24 山东新一代信息产业技术研究院有限公司 Multi-mode-based service robot interaction method, system and storage medium
US11688390B2 (en) 2021-05-27 2023-06-27 Honeywell International Inc. Dynamic speech recognition methods and systems with user-configurable performance
KR20230039423A (en) * 2021-09-14 2023-03-21 삼성전자주식회사 Electronic device and operation method thereof

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020111810A1 (en) * 2001-02-15 2002-08-15 Khan M. Salahuddin Spatially built word list for automatic speech recognition program and method for formation thereof
US20030125869A1 (en) * 2002-01-02 2003-07-03 International Business Machines Corporation Method and apparatus for creating a geographically limited vocabulary for a speech recognition system
CN1674091A (en) * 2005-04-18 2005-09-28 南京师范大学 Sound identifying method for geographic information and its application in navigation system
US20060074660A1 (en) * 2004-09-29 2006-04-06 France Telecom Method and apparatus for enhancing speech recognition accuracy by using geographic data to filter a set of words
US20070118279A1 (en) * 2005-11-21 2007-05-24 Denso Corporation System and method for facility search

Family Cites Families (67)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5524169A (en) * 1993-12-30 1996-06-04 International Business Machines Incorporated Method and system for location-specific speech recognition
US5905773A (en) * 1996-03-28 1999-05-18 Northern Telecom Limited Apparatus and method for reducing speech recognition vocabulary perplexity and dynamically selecting acoustic models
US6202023B1 (en) 1996-08-22 2001-03-13 Go2 Systems, Inc. Internet based geographic location referencing system and method
US5819220A (en) * 1996-09-30 1998-10-06 Hewlett-Packard Company Web triggered word set boosting for speech interfaces to the world wide web
JPH10141974A (en) * 1996-11-12 1998-05-29 Sony Corp Car navigation system and its operation method
JPH10143191A (en) * 1996-11-13 1998-05-29 Hitachi Ltd Speech recognition system
US6078886A (en) * 1997-04-14 2000-06-20 At&T Corporation System and method for providing remote automatic speech recognition services via a packet network
US6184823B1 (en) * 1998-05-01 2001-02-06 Navigation Technologies Corp. Geographic database architecture for representation of named intersections and complex intersections and methods for formation thereof and use in a navigation application program
US7031925B1 (en) * 1998-06-15 2006-04-18 At&T Corp. Method and apparatus for creating customer specific dynamic grammars
US6745165B2 (en) * 1999-06-16 2004-06-01 International Business Machines Corporation Method and apparatus for recognizing from here to here voice command structures in a finite grammar speech recognition system
WO2001031497A1 (en) 1999-10-22 2001-05-03 Activesky, Inc. An object oriented video system
US7881935B2 (en) * 2000-02-28 2011-02-01 Sony Corporation Speech recognition device and speech recognition method and recording medium utilizing preliminary word selection
WO2001084535A2 (en) * 2000-05-02 2001-11-08 Dragon Systems, Inc. Error correction in speech recognition
AU5997901A (en) * 2000-05-16 2001-11-26 John Taschereau Method and system for providing geographically targeted information and advertising
US6487495B1 (en) * 2000-06-02 2002-11-26 Navigation Technologies Corporation Navigation applications using related location-referenced keywords
US7376640B1 (en) * 2000-11-14 2008-05-20 At&T Delaware Intellectual Property, Inc. Method and system for searching an information retrieval system according to user-specified location information
US6937986B2 (en) * 2000-12-28 2005-08-30 Comverse, Inc. Automatic dynamic speech recognition vocabulary based on external sources of information
US20030023440A1 (en) * 2001-03-09 2003-01-30 Chu Wesley A. System, Method and computer program product for presenting large lists over a voice user interface utilizing dynamic segmentation and drill down selection
JP2002318132A (en) * 2001-04-23 2002-10-31 Hitachi Ltd Voice dialogue type navigation system, mobile terminal device and voice dialogue server
US7437295B2 (en) * 2001-04-27 2008-10-14 Accenture Llp Natural language processing for a location-based services system
JP2003032388A (en) * 2001-07-12 2003-01-31 Denso Corp Communication terminal and processing system
US6757544B2 (en) * 2001-08-15 2004-06-29 Motorola, Inc. System and method for determining a location relevant to a communication device and/or its associated user
US20030093419A1 (en) * 2001-08-17 2003-05-15 Srinivas Bangalore System and method for querying information using a flexible multi-modal interface
US6813342B1 (en) 2001-10-17 2004-11-02 Bevocal, Inc. Implicit area code determination during voice activated dialing
US20030171926A1 (en) * 2002-03-07 2003-09-11 Narasimha Suresh System for information storage, retrieval and voice based content search and methods thereof
US6999930B1 (en) * 2002-03-27 2006-02-14 Extended Systems, Inc. Voice dialog server method and system
US20030191639A1 (en) * 2002-04-05 2003-10-09 Sam Mazza Dynamic and adaptive selection of vocabulary and acoustic models based on a call context for speech recognition
US7328155B2 (en) * 2002-09-25 2008-02-05 Toyota Infotechnology Center Co., Ltd. Method and system for speech recognition using grammar weighted based upon location information
US20050055216A1 (en) * 2003-09-04 2005-03-10 Sbc Knowledge Ventures, L.P. System and method for the automated collection of data for grammar creation
US7752210B2 (en) * 2003-11-13 2010-07-06 Yahoo! Inc. Method of determining geographical location from IP address information
US7584422B2 (en) * 2004-07-12 2009-09-01 Informatica Corporation System and method for data format transformation
US7373248B2 (en) * 2004-09-10 2008-05-13 Atx Group, Inc. Systems and methods for off-board voice-automated vehicle navigation
US7630900B1 (en) * 2004-12-01 2009-12-08 Tellme Networks, Inc. Method and system for selecting grammars based on geographic information associated with a caller
JP2006171305A (en) * 2004-12-15 2006-06-29 Nissan Motor Co Ltd Navigation device, and information retrieval method using speech recognition for the navigation device
US20060129533A1 (en) * 2004-12-15 2006-06-15 Xerox Corporation Personalized web search method
US7672931B2 (en) 2005-06-30 2010-03-02 Microsoft Corporation Searching for content using voice search queries
US20070112739A1 (en) * 2005-07-19 2007-05-17 4Info, Inc. Intelligent mobile search client
JP2007052397A (en) * 2005-07-21 2007-03-01 Denso Corp Operating apparatus
US7640160B2 (en) * 2005-08-05 2009-12-29 Voicebox Technologies, Inc. Systems and methods for responding to natural language speech utterance
US7949529B2 (en) * 2005-08-29 2011-05-24 Voicebox Technologies, Inc. Mobile systems and methods of supporting natural language human-machine interactions
US8677377B2 (en) 2005-09-08 2014-03-18 Apple Inc. Method and apparatus for building an intelligent automated assistant
US7860871B2 (en) 2005-09-14 2010-12-28 Jumptap, Inc. User history influenced search results
US7577665B2 (en) 2005-09-14 2009-08-18 Jumptap, Inc. User characteristic influenced search results
DE602005015984D1 (en) * 2005-11-25 2009-09-24 Swisscom Ag Method for personalizing a service
US7616964B2 (en) * 2005-12-13 2009-11-10 Yahoo! Inc. System and method for providing geo-relevant information based on a mobile device
KR100725792B1 (en) * 2006-02-01 2007-06-08 엔에이치엔(주) System and method for providing geographic information in private webpage
US7778837B2 (en) * 2006-05-01 2010-08-17 Microsoft Corporation Demographic based classification for local word wheeling/web search
US20070276651A1 (en) * 2006-05-23 2007-11-29 Motorola, Inc. Grammar adaptation through cooperative client and server based speech recognition
US7606715B1 (en) * 2006-05-25 2009-10-20 Rockwell Collins, Inc. Avionics system for providing commands based on aircraft state
US20070280445A1 (en) * 2006-06-05 2007-12-06 Roy Shkedi Method for Interacting Via an Internet Accessible Address-Book Using a Visual Interface Phone Device
US7937402B2 (en) * 2006-07-10 2011-05-03 Nec (China) Co., Ltd. Natural language based location query system, keyword based location query system and a natural language and keyword based location query system
US20080086368A1 (en) * 2006-10-05 2008-04-10 Google Inc. Location Based, Content Targeted Online Advertising
US7890326B2 (en) * 2006-10-13 2011-02-15 Google Inc. Business listing search
US20080312934A1 (en) * 2007-03-07 2008-12-18 Cerra Joseph P Using results of unstructured language model based speech recognition to perform an action on a mobile communications facility
US20080222119A1 (en) * 2007-03-08 2008-09-11 Microsoft Corporation Detecting a user's location, local intent and travel intent from search queries
US8219406B2 (en) * 2007-03-15 2012-07-10 Microsoft Corporation Speech-centric multimodal user interface design in mobile technology
US7788252B2 (en) * 2007-03-28 2010-08-31 Yahoo, Inc. System for determining local intent in a search query
US7774348B2 (en) * 2007-03-28 2010-08-10 Yahoo, Inc. System for providing geographically relevant content to a search query with local intent
US20080312969A1 (en) 2007-04-20 2008-12-18 Richard Raines System and method for insurance underwriting and rating
US7949936B2 (en) * 2007-04-27 2011-05-24 International Business Machines Corporation Selecting advertising for a web page
US9360337B2 (en) * 2007-06-20 2016-06-07 Golba Llc Navigation system and methods for route navigation
US8060367B2 (en) * 2007-06-26 2011-11-15 Targus Information Corporation Spatially indexed grammar and methods of use
US7983913B2 (en) * 2007-07-31 2011-07-19 Microsoft Corporation Understanding spoken location information based on intersections
US8140335B2 (en) * 2007-12-11 2012-03-20 Voicebox Technologies, Inc. System and method for providing a natural language voice user interface in an integrated voice navigation services environment
US8255224B2 (en) 2008-03-07 2012-08-28 Google Inc. Voice recognition grammar selection based on context
US8255217B2 (en) * 2009-10-16 2012-08-28 At&T Intellectual Property I, Lp Systems and methods for creating and using geo-centric language models
US8473433B2 (en) 2010-11-04 2013-06-25 At&T Intellectual Property I, L.P. Systems and methods to facilitate local searches via location disambiguation

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20020111810A1 (en) * 2001-02-15 2002-08-15 Khan M. Salahuddin Spatially built word list for automatic speech recognition program and method for formation thereof
US20030125869A1 (en) * 2002-01-02 2003-07-03 International Business Machines Corporation Method and apparatus for creating a geographically limited vocabulary for a speech recognition system
US20060074660A1 (en) * 2004-09-29 2006-04-06 France Telecom Method and apparatus for enhancing speech recognition accuracy by using geographic data to filter a set of words
CN1674091A (en) * 2005-04-18 2005-09-28 南京师范大学 Sound identifying method for geographic information and its application in navigation system
US20070118279A1 (en) * 2005-11-21 2007-05-24 Denso Corporation System and method for facility search

Cited By (18)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102270213A (en) * 2011-04-20 2011-12-07 深圳市凯立德科技股份有限公司 Searching method and device for interesting points of navigation system, and location service terminal
CN103903611A (en) * 2012-12-24 2014-07-02 联想(北京)有限公司 Speech information identifying method and equipment
CN105340006B (en) * 2013-07-08 2019-05-03 高通股份有限公司 For the method and apparatus to voice operating function distribution keyword model
CN105340006A (en) * 2013-07-08 2016-02-17 高通股份有限公司 Method and apparatus for assigning keyword model to voice operated function
CN105393302A (en) * 2013-07-17 2016-03-09 三星电子株式会社 Multi-level speech recognition
CN105453578A (en) * 2013-08-05 2016-03-30 三星电子株式会社 Apparatus, server, and method for providing conversation topic
US11048750B2 (en) 2013-08-05 2021-06-29 Samsung Electronics Co., Ltd. Apparatus, server, and method for providing conversation topic
US11620333B2 (en) 2013-08-05 2023-04-04 Samsung Electronics Co., Ltd. Apparatus, server, and method for providing conversation topic
CN106168895A (en) * 2016-07-07 2016-11-30 北京行云时空科技有限公司 Sound control method and intelligent terminal for intelligent terminal
CN108541312A (en) * 2016-12-30 2018-09-14 谷歌有限责任公司 The multi-modal transmission of packetized data
US11087760B2 (en) 2016-12-30 2021-08-10 Google, Llc Multimodal transmission of packetized data
US11381609B2 (en) 2016-12-30 2022-07-05 Google Llc Multimodal transmission of packetized data
US11705121B2 (en) 2016-12-30 2023-07-18 Google Llc Multimodal transmission of packetized data
CN110325987A (en) * 2017-04-18 2019-10-11 谷歌有限责任公司 Context voice driven depth bookmark
CN110325987B (en) * 2017-04-18 2023-10-20 谷歌有限责任公司 Context voice driven deep bookmarks
US11829433B2 (en) 2017-04-18 2023-11-28 Google Llc Contextual deep bookmarking
CN109189365A (en) * 2018-08-17 2019-01-11 平安普惠企业管理有限公司 A kind of audio recognition method, storage medium and terminal device
CN113113024A (en) * 2021-04-29 2021-07-13 科大讯飞股份有限公司 Voice recognition method and device, electronic equipment and storage medium

Also Published As

Publication number Publication date
KR101605147B1 (en) 2016-04-01
US20120316878A1 (en) 2012-12-13
CN113506567A (en) 2021-10-15
US20140195234A1 (en) 2014-07-10
EP2260264A2 (en) 2010-12-15
US10510338B2 (en) 2019-12-17
JP2011513795A (en) 2011-04-28
WO2009111721A2 (en) 2009-09-11
KR101758302B1 (en) 2017-07-14
US8527279B2 (en) 2013-09-03
US9858921B2 (en) 2018-01-02
KR20150097816A (en) 2015-08-26
US20090228281A1 (en) 2009-09-10
KR101881985B1 (en) 2018-08-24
KR20180043405A (en) 2018-04-27
US8255224B2 (en) 2012-08-28
KR20170081745A (en) 2017-07-12
KR20100126796A (en) 2010-12-02
CN102016502B (en) 2017-06-09
EP2260264A4 (en) 2015-05-06
CN107331389B (en) 2021-06-18
US11538459B2 (en) 2022-12-27
US20230112412A1 (en) 2023-04-13
US20200043472A1 (en) 2020-02-06
US20170092267A1 (en) 2017-03-30
WO2009111721A3 (en) 2010-01-14
CN107331389A (en) 2017-11-07

Similar Documents

Publication Publication Date Title
CN102016502A (en) Voice recognition grammar selection based on context
CN103080927B (en) Automatic route using Search Results
JP6063965B2 (en) Geocoding personal information
JP2020161153A (en) Parameter collection and automatic dialog generation in dialog systems
CN100576171C (en) The system and method that stepwise markup language and object-oriented development tool combinations are used
CN109643331A (en) By automating natural language task/dialog authoring using existing content
CN102483753A (en) Computer Application Data In Search Results
CN103250204A (en) State-dependent query response
US11041727B2 (en) Mobile mapping and navigation
CN103473253B (en) The detection of data through geocoding and the user interface for it
CN113826089A (en) Contextual feedback with expiration indicators for natural understanding systems in chat robots
CN103440306A (en) Search result showing method and device
CN113906411A (en) Contextual feedback for natural understanding systems in chat robots
CN112148847A (en) Voice information processing method and device
JP2023015233A (en) Dialog data generation method, device, apparatus, and medium
KR20090025839A (en) Method for providing diary service and system for executing the method

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
CP01 Change in the name or title of a patent holder
CP01 Change in the name or title of a patent holder

Address after: American California

Patentee after: Google limited liability company

Address before: American California

Patentee before: Google Inc.